Title :
On-demand sharing of a high-resolution panorama video from networked robotic cameras
Author :
Qin, Ni ; Song, Dezhen
Author_Institution :
Texas A&M Univ., College Station
fDate :
Oct. 29 2007-Nov. 2 2007
Abstract :
Due to their flexibility in coverage and resolution, networked robotic cameras become more and more popular in applications such as natural observation, security surveillance, and distance learning. Equipped with a high optical zoom lens, a networked robotic camera can generate a giga-pixel-level panorama to cover its viewable region. As new live frames enter the system, this panorama can be updated as a panorama video. User requests are usually not limited to the current camera frame. A user may request a specific region associated with a specific time window. To satisfy different spatiotemporal requests for multiple concurrent users, we present systems and algorithms to allow the on-demand sharing of the high-resolution panorama video. The high-resolution panorama video is encoded into a patch-based representation to allow efficient storage and on-demand content delivery. We present system architecture, user interface, data representation, and encoding/decoding algorithms. In the experiment, we have implemented the system using the MPEG-2 codec. Experimental results show that our system can not only satisfy different spatiotemporal queries but also significantly reduce computation time and communication bandwidth requirement.
Keywords :
cameras; decoding; image resolution; robot vision; user interfaces; video codecs; video coding; MPEG-2 codec; communication bandwidth requirement; computation time reduction; coverage flexibility; data representation; decoding algorithm; distance learning; encoding algorithm; high optical zoom lens; high-resolution panorama video encoding; natural observation; networked robotic cameras; on-demand content delivery; on-demand sharing; patch-based representation; resolution flexibility; security surveillance; spatiotemporal queries; system architecture; user interface; Cameras; Computer aided instruction; Computer architecture; Lenses; Optical fiber networks; Robot vision systems; Spatiotemporal phenomena; Surveillance; Video on demand; Video sharing;
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
DOI :
10.1109/IROS.2007.4399255